Triple
T21763496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Darcy |
E537219
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
Lord Darcy
Lord Darcy is a fictional detective in an alternate-history fantasy series by Randall Garrett, combining magic with classic mystery-solving.
|
E1501289
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lord Darcy | Statement: [Lord Darcy, knownAs, Lord Darcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Darcy Context triple: [Lord Darcy, knownAs, Lord Darcy]
-
A.
Lord Darcy
Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
-
B.
Fitzwilliam Darcy
Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
-
C.
Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
-
D.
Arthur Darcy
Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
-
E.
Baron Bingley
Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lord Darcy Triple: [Lord Darcy, knownAs, Lord Darcy]
Generated description
Lord Darcy is a fictional detective in an alternate-history fantasy series by Randall Garrett, combining magic with classic mystery-solving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lord Darcy Target entity description: Lord Darcy is a fictional detective in an alternate-history fantasy series by Randall Garrett, combining magic with classic mystery-solving.
-
A.
Lord Darcy
Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
-
B.
Fitzwilliam Darcy
Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
-
C.
Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
-
D.
Arthur Darcy
Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
-
E.
Baron Bingley
Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3677fa80819082dbe7ba2fcb0421 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a373aca708190aae867f78c87b956 |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e0bed48190b0319d62eaff5d1e |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:51 p.m.